Helge Aasen
Orcid: 0000-0003-4343-0476
According to our database1,
Helge Aasen
authored at least 21 papers
between 2014 and 2024.
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Bibliography
2024
Int. J. Appl. Earth Obs. Geoinformation, February, 2024
CoRR, 2024
2023
Propagating Sentinel-2 Top-of-Atmosphere Radiometric Uncertainty Into Land Surface Phenology Metrics Using a Monte Carlo Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data.
Comput. Electron. Agric., 2022
Using high-resolution drone data to assess apparent agricultural field heterogeneity at different spatial resolutions.
Proceedings of the 42. GIL-Jahrestagung, 2022
2021
Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data.
Remote. Sens., 2021
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity.
CoRR, 2021
2020
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods.
CoRR, 2020
2019
Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers.
Remote. Sens., 2019
Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing.
Remote. Sens., 2019
Sun-Induced Chlorophyll Fluorescence II: Review of Passive Measurement Setups, Protocols, and Their Application at the Leaf to Canopy Level.
Remote. Sens., 2019
2018
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows.
Remote. Sens., 2018
UAV Spectroscopy: Current Sensors, Processing Techniques and Theoretical Concepts for Data Interpretation.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2016
The acquisition of Hyperspectral Digital Surface Models of crops from UAV snapshot cameras
PhD thesis, 2016
2015
Correction: Tilly, N. <i>et al.</i> Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass. <i>Remote Sens.</i> 2015, <i>7</i>, 11449-11480.
Remote. Sens., 2015
Remote. Sens., 2015
Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer.
Remote. Sens., 2015
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014